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3d-pointcloud

Papers and Datasets about Point Cloud.

active_transfer_learning

Active learning and transfer learning developed by a group of 4

adaptive

:chart_with_upwards_trend: Adaptive: parallel active learning of mathematical functions

astl

An active semi-supervised transfer learning based pose error prediction and compensation method for robot

awesome-active-learning

Everything you need about Active Learning (AL).

crb-active-3ddet

The official PyTorch implementation of "Exploring Active 3D Object Detection from a Generalization Perspective" (ICLR Spotlight 2023).

crowsearchalgorithmpython

The Python implementation of CrowSearchAlgorithm

dakuoxueshengxin_essay_code

公众号大阔学生信推文代码及测试数据

deep_active_featl

Deep Active Audio Feature Learning in Resource-Constrained Environments

dtsa-cvrp

Discrete Tree-Seed Algorithm for Solving the Capacitated Vehicle Routing Problem

fluidx3d

The fastest and most memory efficient lattice Boltzmann CFD software, running on all GPUs via OpenCL.

gpy

Gaussian processes framework in python

kriging

A python library for fitting kriging models.

libact

Pool-based active learning in Python

modal

A modular active learning framework for Python

notebook

Collection of jupyter notebooks for demonstrating software.

pointnet.pytorch

pytorch implementation for "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593

proplot

https://zhuanlan.zhihu.com/p/651720018

pyansys

pytorch-vae

A Collection of Variational Autoencoders (VAE) in PyTorch.

salib

Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.

swarm-intelligence-optimization-algorithm

种群算法复现(swarm-algorithm)，包括乌鸦搜索(Crow Search Algorithm, CSA)、樽海鞘群算法(Salp Swarm Algorithm, SSA)、缎蓝园丁鸟优化算法(Satin Bowerbird Optimizer, SBO)、麻雀搜索算法(Sparrow Search Algorithm, SSA)、 狼群搜索算法(2007WPS, 2013WPA)、正余弦优化算法(Sine Cosine Algorithm, CSA）、烟花算法(Fireworks Algorithm, FA)

vae-cvae-mnist

Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch